Agent Architecture — Yaqin Hei

AI Picked the First Store and the Other Four Vanished: WeChat's New Shelf for 10 Million Merchants

WeChat is beta-testing an AI agent that can search, compare, order, and pay across ~10 million merchants. This one is for owners and growth leads: in 10 minutes you'll see how the AI entry rewrote the physics of traffic distribution, spot the 3 signals that your service is already invisible to the AI, and walk out with 5 questions to put to your platform and team next week. It doesn't bet on any specific API — it explains the one thing that's certain: the shelf's rules changed, and whoever reads the rules first grabs the slot.

Jun 24, 2026

The Day WeChat's AI Ordered for Users, 10 Million Merchants' Mini-Programs Expired — A Layered Rebuild Blueprint

WeChat's AI agent has entered beta — it can search, compare, order, and pay across ~10 million merchants. This is the rebuild blueprint for architects and eng leads: which capabilities to scout with auto mode, which to package as SKILLs, how atomic APIs use a state machine to keep the AI on rails, and how to stitch the relationship layer back onto your side. In 30 minutes you walk out with a layered rebuild map + 10 things to do this week + 5 questions for the platform and vendors. The contract isn't frozen — so this post teaches you to design by MODE, not to bet on a specific API.

WeChat's AI Entry: Rebuilding the Merchant Agent · 30 min read · EN · 中